implementing np.unique not maintaining order of elements in NumPy 1.24.0
I'm optimizing some code but I recently switched to I'm working with a question with the `np.unique` function in NumPy 1.24.0. I expected it to return the unique elements while preserving the original order of the array, but it seems to return them in sorted order instead. Here’s the code I’m using: ```python import numpy as np arr = np.array([3, 1, 2, 3, 2, 1]) unique_elements = np.unique(arr) print(unique_elements) ``` When I run this code, the output is: ``` [1 2 3] ``` I was hoping for the result to maintain the order as `[3, 1, 2]`. I have tried using `return_index=True`, but it only gives me the indices of the first occurrences, not the elements in the original order. Is there a way to achieve this in the latest version of NumPy? I've also checked the documentation, but it doesn't seem to indicate a parameter that can help with this specific case. Any guidance would be appreciated! This issue appeared after updating to Python 3.10. What are your experiences with this? I've been using Python for about a year now. Any ideas how to fix this? For context: I'm using Python on Linux.